Genomic selection (GS) accelerates achieving genetic gain through shorter breeding cycles and is an alternative to marker-assisted selection. Genetwister implements new breeding schemes and methods that integrate GS for crop improvement.

Using state-of-the-art long read sequencing technologies, Genetwister builds high quality genome assemblies of novel species and obtains long-range genomic information such as haplotypes and structural variants.

Genetwister investigates new precision phenotyping methods to integrate phenotypic data into genetic models to support breeding

At Genetwister, tools are developed using distributed computing models and technologies like Spark and Hadoop.

Discovery of markers in all plant species by next-generation sequencing for accelerated plant breeding

To interconnect different knowledge domains, we use different semantic web technologies.

With increasing sample numbers comes the need for automating the most valuable and most often applied protocols at Genetwister.

Advanced statistical models are needed to increase the power to discover (new) associations between genetic and phenotypic variation.

Tailored marker selection allowing for genotyping regardless of species, genome size and ploidy level.

CROPaware – A web based software platform for breeding and genomics data management.